How to handle a huge amount of data with surface and stair plots to avoid memory spikes
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When we try to handle very large amount of the data with batched bins (500) and averages (50) and stored in the matrices. It still consumes and have memory spikes when the ploting scenario reaches 20 minutes long.
Besides adjusting the bin and average sizes, is there a way to make this more efficient to plot a large timeframe of data by splicing multiple plots?
In both plots, X is referring to time with calcuated magnitude spectrum in dB.
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Jan
il 13 Nov 2017
The question is not clear. Please explain, what you are doing exactly: What is displayed how? Code? What are "memory spikes"? What takes 20 minutes? How large is "large"? What is "splicing"? Which "X" refers to what?
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